- Jobs
- hyperexponential
- Lead Software Engineer - AI Products
Lead Software Engineer - AI Products
Tech Stack
About the Role
ABOUT HYPEREXPONENTIAL (HX)
At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.
Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.
Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx.
What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.
ABOUT THE HXAI TEAM
At hx, AI is not an add-on, it is central to our mission. We are redefining how the insurance industry builds software and makes decisions, powered by generative AI. Our team combines state-of-the-art LLM technology with deep insurance domain expertise to solve problems no one else is tackling.
We're currently focused on two flagship products. The first is a powerful ingestion engine that transforms unstructured insurance documents into structured insights. The second is our crown jewel: a domain-specific AI peer-programmer embedded inside a custom IDE, designed to reshape how actuaries and underwriters code, model risk, and make billion-dollar decisions.
This is applied AI with teeth. Our team moves fast, experiments often, and ships real value into the hands of customers.
WHAT YOU'LL BE DOING
- Architect and build AI-driven products from scratch, tackling complex problems with no established playbook.
- Lead the design and implementation of novel features such as domain-specific coding copilots within hx's proprietary development environment.
- Partner with cross-functional peers to shape architectural decisions, ensuring scalability, reliability, and long-term sustainability of our AI systems.
- Experiment, prototype, and ship rapidly, seeing innovations move quickly from idea to production in live customer environments.
- Contribute to the evolution of hx's AI technical vision, embedding best practices and advancing engineering excellence across the team.
- Act as a multiplier: mentoring engineers, raising standards, and building a culture of curiosity, speed, and quality.
WHAT YOU'LL NEED TO HAVE DONE
- Built and shipped technically complex production systems in Python (ideally, but we are also open to Rust and Kotlin, with TypeScript as strong plus), including distributed services and cloud-based infrastructure.
- Solved messy, real-world engineering problems involving data, scale, performance, or reliability.
- Taken end-to-end ownership of technical initiatives.
- Communicated complex technical ideas clearly to a range of stakeholders.
- Influenced engineering direction and culture.
- Delivered AI or ML-powered products from prototype to scale, balancing experimentation with production rigour - nice to have.